Statistics Using R: An Integrative Approach

Weinberg, Sharon Lawner; Harel, Daphna; Abramowitz, Sarah Knapp

ISBN 10: 1108719147 / ISBN 13: 9781108719148

Edité par Cambridge University Press, 2020

A propos de cet article

In nearly new condition: bright, crisp and clean with no creases, strong joints and sharp corners. Looks and feels unread. Just a small publisher 'damaged' stamp at the prelims. Nonetheless not showing any defects, just some minor cosmetic rubs. Thus a very nice copy, firm, square and tight, now offered for sale at a very reasonable price.

N° de réf. du vendeur 135054

Détails bibliographiques

• Titre: Statistics Using R: An Integrative Approach
• Éditeur: Cambridge University Press
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1108719147
• ISBN à 13 chiffres: 9781108719148
• Reliure: Paperback
• Édition: First Edition.
• État de l'article: Like New
• Poids: 51 onces
• Catalogues du vendeur:
  • Science, Mathematics & Technology

A propos de ce titre

Synopsis

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.

À propos des auteurs

Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology, and the former Vice Provost for Faculty Affairs, at New York University (NYU). She is the recipient of the NYU Steinhardt Outstanding Teaching Award, and has taught statistics at both undergraduate and graduate levels. Her research has been supported by federal agencies and private foundations.

Daphna Harel is Associate Professor of Applied Statistics at New York University. She is known for her innovative approach to teaching both introductory and advanced statistics. Her research has been supported by federal agencies and foundations, such as the National Institutes for Health and the Canadian Institutes for Health Research.

Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science, Department Chair, and Co-ordinator of Statistics Instruction at Drew University. She is Associate Editor of the Journal of Statistics Education and has presented at national conferences on topics related to the teaching of statistics.